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» Reproducible Clusters from Microarray Research: Whither
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PAMI
2011
13 years 8 days ago
Greedy Learning of Binary Latent Trees
—Inferring latent structures from observations helps to model and possibly also understand underlying data generating processes. A rich class of latent structures are the latent ...
Stefan Harmeling, Christopher K. I. Williams
PR
2006
78views more  PR 2006»
13 years 5 months ago
Similarity-based analysis for large networks of ultra-low resolution sensors
By analyzing the similarities between bit streams coming from a network of motion detectors, we can recover the network geometry and discover structure in the human behavior being...
Christopher Richard Wren, David C. Minnen, Sriniva...
BMCBI
2006
143views more  BMCBI 2006»
13 years 5 months ago
Discovering functional gene expression patterns in the metabolic network of Escherichia coli with wavelets transforms
Background: Microarray technology produces gene expression data on a genomic scale for an endless variety of organisms and conditions. However, this vast amount of information nee...
Rainer König, Gunnar Schramm, Marcus Oswald, ...
GLOBECOM
2007
IEEE
13 years 9 months ago
Channel Measurements of an Indoor Office Scenario for Wireless Sensor Applications
Ad-hoc networks and sensor networks, where nodes communicate with each other without fixed infrastructure, are of great importance for many industrial, environmental, and safety-r...
Shurjeel Wyne, Telmo Santos, Fredrik Tufvesson, An...
BIODATAMINING
2008
178views more  BIODATAMINING 2008»
13 years 5 months ago
Clustering-based approaches to SAGE data mining
Serial analysis of gene expression (SAGE) is one of the most powerful tools for global gene expression profiling. It has led to several biological discoveries and biomedical appli...
Haiying Wang, Huiru Zheng, Francisco Azuaje